Agent skill · simonwong
fable-orchestrate
Keep planning, verification, and hard problems in the main thread; dispatch implementation to subagents.
What it needs
About 1k tokens when loaded.
What this skill does
Fable Orchestrate From now on, keep in the main thread: Clarifying the request. Splitting it into tasks with acceptance criteria. Dispatching tasks. Verifying reports. Hard problems: design decisions, tricky debugging, anything where judgement matters more than legwork. Delegate implementation work: reading code at scale, writing code, running tests, bulk edits. Dispatch The argument picks the executor. Without one, use opus. Argument Executor --- --- opus (default), sonnet Agent tool with model set to that name gpt Agent tool with subagenttype: codex:codex-rescue; prefix the prompt with --wait --fresh herdr <kind> herdr skill: start a <kind> agent, agent prompt --wait, then agent read for its report Run independent tasks in parallel. Tell every subagent to do the work itself without spawning subagents. Report Ask each subagent to report: What was done. Files changed. How it was verified, with command output. Open questions or blockers. Verify each report against its acceptance criteria. Follow up on the same executor: SendMessage for opus and sonnet, --wait --resume for gpt, another agent prompt for herdr.
How to use it
Reference it in AdaL, Claude Code, Cursor or any coding agent — nothing to install:
@skills simonwong/fable-orchestrate